Well argued post about arbitrage of deep learning in world of AI. All knowledge cannot be in 5 bullet points and explained like to a 5 year old. Huge advantage in developing depth and patience.
This is a fair point but I see a real tension here. Over the past decade, we’ve trained people to crave shortcuts like 60-second content, quick hacks, bullet posts. A whole ecosystem of “productivity” tools has taught us to skim, summarize, and move on.
Now we’re facing a powerful new technology, but we’re approaching it with those same outdated mental models. We prompt AI to give us answers fast, rather than using it to deepen our thinking. If we keep using next-gen tools with last-gen habits, we’ll miss the real opportunity. This demands a different framework. We’ve written the playbook for this one yet because it goes a bit against our instincts for convenience
Nice one, thanks! How do we get people who are not naturally curious up to speed?
This is a tough one - if folks aren’t curious at this stage of the adoption curve I’m not sure what might trigger curiosity!
Well argued post about arbitrage of deep learning in world of AI. All knowledge cannot be in 5 bullet points and explained like to a 5 year old. Huge advantage in developing depth and patience.
This is a fair point but I see a real tension here. Over the past decade, we’ve trained people to crave shortcuts like 60-second content, quick hacks, bullet posts. A whole ecosystem of “productivity” tools has taught us to skim, summarize, and move on.
Now we’re facing a powerful new technology, but we’re approaching it with those same outdated mental models. We prompt AI to give us answers fast, rather than using it to deepen our thinking. If we keep using next-gen tools with last-gen habits, we’ll miss the real opportunity. This demands a different framework. We’ve written the playbook for this one yet because it goes a bit against our instincts for convenience